Greptile

Greptile

Growth Engineer

San Francisco

Sponsorship not specifiedDetected 183 days ago
Full-Stack DevelopmentGitA/B TestingFigmaSEO

About the role

  • Today that looks like AI that reviews pull requests in GitHub, catching bugs and enforcing standards.
  • We're reviewing close to 1B lines of code a month now for over 3,000 companies.
  • Can we autonomously deploy feature branches and use agents to parallel try to break the application to detect bugs?

Responsibilities

  • Own and ship growth-critical engineering projects end-to-end, from identifying opportunities to building, launching, and iterating based on results
  • Design, build, and run experiments across the full user journey, spanning the marketing website, onboarding, activation, and product interactions
  • Partner closely with product and growth teams to scope ideas and ship high-quality, production-ready implementations
  • Build and own the core analytics and attribution framework, including event instrumentation, dashboards, and reporting used to guide decisions
  • Coding standards can be idiosyncratic and are often poorly documented; can we build agents that learn them through osmosis like a new hire might?

Requirements

  • Comfort working with data, metrics, and experimentation to inform decisions
  • Ability to move quickly, take ownership, and learn through iteration without sacrificing code quality
  • Familiarity with modern web stacks and analytics tooling
  • Strong software engineering foundation (frontend, backend, or full-stack)
  • Experience building and shipping user-facing product or web features
  • Solid product intuition and curiosity about how users discover, adopt, and stick with products
  • Interest in how products grow across channels (e.g. paid acquisition, SEO, lifecycle email), and eagerness to learn how engineering decisions shape outcomes

Nice to have

  • experience with developer tools, product-led growth, or B2B SaaS

Company info

  • 7,000+ customers

This listing is sourced directly from Greptile's careers page and normalized into a canonical job model.